gpsjsonplot's Introduction

GPS Data Visualization Script

Scripts to analyze GPS JSON data generated by gpsd and gpspipe and make plots of position changes and satellite visibility over time. This is a modern alternative for gpsprof.

Sample output


`gpsjsonplot-pos.py`

`gpsjsonplot-sats.py`

Prerequisites

gpsd up and running; gpspipe or other source of json data
Python 3.x with python packages: json, matplotlib, numpy, seaborn

Usage

# get some samples from gpsd
gpspipe -v -w -n 10 > input.json

# make a plot of position changes using 100 data points with contour lines
python gpsjsonplot-pos.py --json  input.json --outfile plot-lat-lon.png --n 100 --contour 4

# the same but for all data points and without contours lines
python gpsjsonplot-pos.py --json  input.json --outfile plot-lat-lon2.png --n 1 --contour 0

# plot satellites, with sampling 10 data points
python gpsjsonplot-sats.py --json input.json --outfile plot-sattelites.png --n 10

# plot satellites, all data points
python gpsjsonplot-sats.py --json input.json --outfile plot-sattelites2.png --n 0

--json: Path to the input JSON file containing GPS data.
--outfile: Path to the output image file where the plot will be saved.
--n: Optional parameter to uniformly select n data points.
--contour: Optional: number of contour lines. 0 - disables it.

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